The rapid development of Large language models and the accessibility of new technologies for ordinary users have made AI popular and widely discussed.
As people evaluate the potential of AI services like ChatGPT, they are becoming more aware of the importance and impact of artificial intelligence on our everyday and professional lives. This is where the revolutionary moment lies.
At Tovie AI, we believe that the current technological wave will bring about many positive changes in business, organisations, and human activities. LLMs effectively help professionals in their duties, freeing up time for other tasks, allowing companies to restructure processes, and creating new value for companies, their employees, and customers.
In our whitepaper, we will explain what generative AI is, how it is trained, where it is used, how the main generative models are structured, and what industry use cases are. Let’s explore it together!
Table of Contents
- What is Generative AI?
- How does Generative AI learn?
- Generative adversarial network (GAN)
- Autoregressive model (AR)
- Variational autoencoder (VAE)
- Transformer models
- Where is Generative AI used?
- Research and development
- Trends in GenAI
- Global landscape of generative models
- Industry use cases
- Tovie AI GenAI offering